Scalable Strategies to Increase Efficiency and Augment Public Health Activities During Epidemic Peaks.

dc.contributor.author

Pasquale, Dana K

dc.contributor.author

Welsh, Whitney

dc.contributor.author

Olson, Andrew

dc.contributor.author

Yacoub, Mark

dc.contributor.author

Moody, James

dc.contributor.author

Barajas Gomez, Brisa A

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Bentley-Edwards, Keisha L

dc.contributor.author

McCall, Jonathan

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Solis-Guzman, Maria Luisa

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Dunn, Jessilyn P

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Woods, Christopher W

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Petzold, Elizabeth A

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Bowie, Aleah C

dc.contributor.author

Singh, Karnika

dc.contributor.author

Huang, Erich S

dc.date.accessioned

2025-12-01T14:48:54Z

dc.date.available

2025-12-01T14:48:54Z

dc.date.issued

2023-11

dc.description.abstract

Objective

Scalable strategies to reduce the time burden and increase contact tracing efficiency are crucial during early waves and peaks of infectious transmission.

Design

We enrolled a cohort of SARS-CoV-2-positive seed cases into a peer recruitment study testing social network methodology and a novel electronic platform to increase contact tracing efficiency.

Setting

Index cases were recruited from an academic medical center and requested to recruit their local social contacts for enrollment and SARS-CoV-2 testing.

Participants

A total of 509 adult participants enrolled over 19 months (384 seed cases and 125 social peers).

Intervention

Participants completed a survey and were then eligible to recruit their social contacts with unique "coupons" for enrollment. Peer participants were eligible for SARS-CoV-2 and respiratory pathogen screening.

Main outcome measures

The main outcome measures were the percentage of tests administered through the study that identified new SARS-CoV-2 cases, the feasibility of deploying the platform and the peer recruitment strategy, the perceived acceptability of the platform and the peer recruitment strategy, and the scalability of both during pandemic peaks.

Results

After development and deployment, few human resources were needed to maintain the platform and enroll participants, regardless of peaks. Platform acceptability was high. Percent positivity tracked with other testing programs in the area.

Conclusions

An electronic platform may be a suitable tool to augment public health contact tracing activities by allowing participants to select an online platform for contact tracing rather than sitting for an interview.
dc.identifier

00124784-202311000-00015

dc.identifier.issn

1078-4659

dc.identifier.issn

1550-5022

dc.identifier.uri

https://hdl.handle.net/10161/33631

dc.language

eng

dc.publisher

Ovid Technologies (Wolters Kluwer Health)

dc.relation.ispartof

Journal of public health management and practice : JPHMP

dc.relation.isversionof

10.1097/phh.0000000000001780

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

Humans

dc.subject

Contact Tracing

dc.subject

Public Health

dc.subject

Adult

dc.subject

COVID-19

dc.subject

SARS-CoV-2

dc.subject

COVID-19 Testing

dc.title

Scalable Strategies to Increase Efficiency and Augment Public Health Activities During Epidemic Peaks.

dc.type

Journal article

duke.contributor.orcid

Pasquale, Dana K|0000-0001-6686-7844

duke.contributor.orcid

Moody, James|0000-0002-3311-4173

duke.contributor.orcid

Bentley-Edwards, Keisha L|0000-0001-8430-4850

duke.contributor.orcid

Dunn, Jessilyn P|0000-0002-3241-8183

duke.contributor.orcid

Woods, Christopher W|0000-0001-7240-2453

duke.contributor.orcid

Huang, Erich S|0000-0001-5547-9408

pubs.begin-page

863

pubs.end-page

873

pubs.issue

6

pubs.organisational-group

Duke

pubs.organisational-group

Pratt School of Engineering

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Sanford School of Public Policy

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School of Medicine

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Trinity College of Arts & Sciences

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Duke Population Research Institute

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Basic Science Departments

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Clinical Science Departments

pubs.organisational-group

Institutes and Centers

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Biostatistics & Bioinformatics

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Biomedical Engineering

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Electrical and Computer Engineering

pubs.organisational-group

Medicine

pubs.organisational-group

Pathology

pubs.organisational-group

Surgery

pubs.organisational-group

Medicine, Endocrinology, Metabolism, and Nutrition

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Medicine, General Internal Medicine

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Medicine, Infectious Diseases

pubs.organisational-group

Duke Cancer Institute

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Sociology

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Duke Clinical Research Institute

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Duke Human Vaccine Institute

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University Institutes and Centers

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Duke Global Health Institute

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Duke Population Research Center

pubs.organisational-group

Center for Child and Family Policy

pubs.organisational-group

Population Health Sciences

pubs.organisational-group

Biostatistics & Bioinformatics, Division of Biostatistics

pubs.publication-status

Published

pubs.volume

29

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